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The Electronic Frontier Foundation's Hanni Fakhoury has analysis of the legal language in the Wikileaks-like services for whistleblowers launched by The Wall Street Journal and Al-Jazeera. The technical demerits of the WSJ's offer have been well documented, but EFF's analysis of the legal jeopardy that both publishers represent to whistleblowers is sobering too:

Despite promising anonymity, security and confidentiality, AJTU can "share personally identifiable information in response to a law enforcement agency's request, or where we believe it is necessary." SafeHouse's terms of service reserve the right "to disclose any information about you to law enforcement authorities" without notice, then goes even further, reserving the right to disclose information to any "requesting third party," not only to comply with the law but also to "protect the property or rights of Dow Jones or any affiliated companies" or to "safeguard the interests of others." As one commentator put it bluntly, this is "insanely broad." Neither SafeHouse or AJTU bother telling users how they determine when they'll disclose information, or who's in charge of the decision.

Whistleblowing by definition threatens "the interests of others." Every time someone uploads a scoop to SafeHouse, they jeopardize someone's interest in order to inform the public of what's actually going on. That's the whole point. In the United States, submitting documents to journalists is protected speech under the First Amendment. But people in totalitarian countries cannot expose the secrets of their governments without breaking those governments' laws. And neither news outlet acknowledges that governments might abuse their police power to find out who leaked damaging information -- even here in the good old U.S. of A.

US court records are not copyrighted, but the US court system operates a paywall called “PACER” that is supposed to recoup the costs of serving text files on the internet; charging $0.10/page for access to the public domain, and illegally profiting to the tune of $80,000,000/year.

Machine learning companies are making big bucks selling opaque, secretive sentencing algorithm tools to America’s court systems: the vendors of these systems claim that they are too sophisticated to explain, and use that opacity to dismiss critics who say the algorithms oversentence black and poor people.

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